16 citations
- AOL (United States)US1 paper
- Center for Cancer ResearchUS1 paper
- Collaborative Innovation Center of Advanced MicrostructuresCN1 paper
- Fondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoIT1 paper
- Nanjing General Hospital of Nanjing Military CommandCN1 paper
- Nanjing UniversityCN1 paper
- National Cancer InstituteUS1 paper
- National Institutes of Health Clinical CenterUS1 paper
- Nvidia (United States)US1 paper
- Queensland University of TechnologyAU1 paper
- Self-Defense Forces Central HospitalJP1 paper
- Southern University of Science and TechnologyCN1 paper
3 papers
physics.flu-dyn2025★ 4 cited
Residual U-Net for accurate and efficient prediction of hemodynamics in two-dimensional asymmetric stenosis
Xintong Zou, Suiyang Tong, Wenhui Peng +2
This study presents residual U-Net (U-ResNet), a deep learning surrogate model for predicting steady hemodynamic fields in two-dimensional asymmetric stenotic channels at Reynolds…
eess.IV2020★ 11 cited
Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan
Dong Yang, Ziyue Xu, Wenqi Li +17
The recent outbreak of COVID-19 has led to urgent needs for reliable diagnosis and management of SARS-CoV-2 infection. As a complimentary tool, chest CT has been shown to be able t…
physics.bio-ph2017★ 16 cited
Atomistic simulation of the Coupled adsorption and unfolding of protein GB1 on the polystyrenes nanoparticle surface
Huifang Xiao, Bin Huang, Ge Yao +7
Protein adsorption/desorption upon nanoparticle surfaces is an important process to understand for developing new nanotechnology involving biomaterials, while atomistic picture of…